Evidence map›Paper›PMID 38670152›Full record

ArticleJournal of the National Comprehensive Cancer Network : JNCCN2024

Geographic Accessibility and Completion of Initial Low-Dose CT-Based Lung Cancer Screening in an Urban Safety-Net Population.

Sofia Yi, Rutu A Rathod, Vijaya Subbu Natchimuthu, Sheena Bhalla, Jessica L Lee, Travis Browning, Joyce O Adesina, Minh Do, David Balis, Juana Gamarra de Wiliams and 7 more

Abstract read
In one paragraph

Article in Journal of the National Comprehensive Cancer Network : JNCCN, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Sofia YiSchool of Medicine, UT Southwestern Medical Center, Dallas, TX.
Rutu A RathodPeter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX.
Vijaya Subbu NatchimuthuParkland Health, Dallas, TX.
Sheena BhallaDivision of Hematology-Oncology, UT Southwestern Medical Center, Dallas, TX.
Jessica L LeePeter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX.
Travis BrowningDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX.
Joyce O AdesinaParkland Health, Dallas, TX.
Minh DoParkland Health, Dallas, TX.
David BalisParkland Health, Dallas, TX.
Juana Gamarra de WiliamsParkland Health, Dallas, TX.
Ellen KitchellParkland Health, Dallas, TX.
Noel O SantiniParkland Health, Dallas, TX.
David H JohnsonDivision of Hematology-Oncology, UT Southwestern Medical Center, Dallas, TX.
Heidi A HamannDepartments of Psychology and Family and Community Medicine, University of Arizona, Tucson, AZ.
Simon J Craddock LeeDepartment of Population Sciences, University of Kansas, Kansas City, KS.
Amy E HughesPeter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX.
David E GerberPeter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX.

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Kathryn Ann O'Donnell · 2010 to 2026
$53.7M
UT Southwestern Center of Patient-Centered Outcomes Research (PCOR)R24HS022418 · AHRQ · UT SOUTHWESTERN MEDICAL CENTER · PI HALM, ETHAN A · 2013 to 2017
$5.0M
AHRQ HHS R24 HS022418NCI NIH HHS P30 CA142543
6 · The paper itself

Abstract

backgroundRecent modifications to low-dose CT (LDCT)-based lung cancer screening guidelines increase the number of eligible individuals, particularly among racial and ethnic minorities. Because these populations disproportionately live in metropolitan areas, we analyzed the association between travel time and initial LDCT completion within an integrated, urban safety-net health care system.

methodsUsing Esri's StreetMap Premium, OpenStreetMap, and the r5r package in R, we determined projected private vehicle and public transportation travel times between patient residence and the screening facility for LDCT ordered in March 2017 through December 2022 at Parkland Memorial Hospital in Dallas, Texas. We characterized associations between travel time and LDCT completion in univariable and multivariable analyses. We tested these associations in a simulation of 10,000 permutations of private vehicle and public transportation distribution.

resultsA total of 2,287 patients were included in the analysis, of whom 1,553 (68%) completed the initial ordered LDCT. Mean age was 63 years, and 73% were underrepresented minorities. Median travel time from patient residence to the LDCT screening facility was 17 minutes by private vehicle and 67 minutes by public transportation. There was a small difference in travel time to the LDCT screening facility by public transportation for patients who completed LDCT versus those who did not (67 vs 66 min, respectively; P=.04) but no difference in travel time by private vehicle for these patients (17 min for both; P=.67). In multivariable analysis, LDCT completion was not associated with projected travel time to the LDCT facility by private vehicle (odds ratio, 1.01; 95% CI, 0.82-1.25) or public transportation (odds ratio, 1.14; 95% CI, 0.89-1.44). Similar results were noted across travel-type permutations. Black individuals were 29% less likely to complete LDCT screening compared with White individuals.

conclusionsIn an urban population comprising predominantly underrepresented minorities, projected travel time is not associated with initial LDCT completion in an integrated health care system. Other reasons for differences in LDCT completion warrant investigation.

Indexed as

Early Detection of CancerHealth Services AccessibilityLung NeoplasmsSafety-net ProvidersTomography, X-Ray ComputedAgedFemaleHumansMaleMass ScreeningMiddle AgedTexasTransportationTravelUrban Population

Identifiers

PMID38670152
PMCPMC12207678

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.